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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. The global AI market is projected to grow to USD 190 billion by 2025, increasing at a compound annual growth rate (CAGR) of 36.62% from 2022, according to Markets and Markets.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Data science is a broad, multidisciplinary field that extracts value from today’s massive data sets. It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. It’s also necessary to understand data cleaning and processing techniques.

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Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

Another example is when sensitive information is removed from transaction data after meeting operational requirements, but the data is kept for analytical processing such as market research and trend analysis. Leveraging a cloud-first approach also allows organizations to deliver new market-leading solutions more expediently.

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Capgemini and IBM Ecosystem strengthen partnership for Drone-as-a-Service

IBM Big Data Hub

They use drones for tasks as simple as aerial photography or as complex as sophisticated data collection and processing. The global commercial drone market is projected to grow from USD 8.15 Knowledge catalogues can help organize data effectively, and the data refinery provides out-of-box models for data cleansing.

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Utilities Digital Journey Insights (Part 3): Data, the new “digital capital” - Going beyond the hype of advanced analytics and AI

CGI

Automation is the next natural step to expand the value of advanced analytics to accelerate improvement cycles, develop hyper-personalized marketing and deliver a superior customer experience. While how to exploit data might be simple to explain, execution is another matter. Data also needs to be easily accessible by all users.